Francesca Anichini
Dados Biográficos
| ID | 6692879 |
|---|---|
| NOME | Francesca Anichini |
| PRENOMES | Francesca |
| SOBRENOME | Anichini |
| ASSINATURA | ANICHINI F |
| AFILIAÇÕES | University of Pisa |
| ORCID | 0000-0003-3813-9502 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAÇÕES | 14 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 3 |
Ciac 2023 – First Italian Conference on the Archaeology of the Contemporary Age
The First Italian Conference on Contemporary Archaeology (CIAC) was held at the University of Pisa between 30 November and 2 December, 2023. The conference was co-organised by the Universities of Pisa (MAPPA Laboratory – Francesca Anichini and Gabriele Gattiglia) and the University of Bari (Giuliano De Felice). Italy has a solid tradition of post-medieval archaeology, which historically has welcomed and supported contributions from the emerging f…
Palynology of Gardens and Archaeobotany for the Environmental Reconstruction of the Charterhouse of Calci-Pisa in Tuscany (Central Italy)
In central Italy, the Charterhouse of Calci hosts the Natural History Museum of the University of Pisa. This monumental monastery was founded in 1366 by Carthusian monks. The Charterhouse has experienced various transformations over the centuries, until its abandonment in the 1970s. Since 2018, interdisciplinary archaeological research focused on the monks’ gardens (and particularly: the Prior’s, the Apothecary’s, and the Master’s garden) and the…
An Open System for Collection and Automatic Recognition of Pottery through Neural Network Algorithms
In the last ten years, artificial intelligence (AI) techniques have been applied in archaeology. The ArchAIDE project realised an AI-based application to recognise archaeological pottery. Pottery is of paramount importance for understanding archaeological contexts. However, recognition of ceramics is still a manual, time-consuming activity, reliant on analogue catalogues. The project developed two complementary machine-learning tools to propose i…
The automatic recognition of ceramics from only one photo
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
Definition of the parameters of the Archaeological Potential of an urban area
An Open System for Collection and Automatic Recognition of Pottery through Neural Network Algorithms
In the last ten years, artificial intelligence (AI) techniques have been applied in archaeology. The ArchAIDE project realised an AI-based application to recognise archaeological pottery. Pottery is of paramount importance for understanding archaeological contexts. However, recognition of ceramics is still a manual, time-consuming activity, reliant on analogue catalogues. The project developed two complementary machine-learning tools to propose i…
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
The automatic recognition of ceramics from only one photo
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
An Open System for Collection and Automatic Recognition of Pottery through Neural Network Algorithms
In the last ten years, artificial intelligence (AI) techniques have been applied in archaeology. The ArchAIDE project realised an AI-based application to recognise archaeological pottery. Pottery is of paramount importance for understanding archaeological contexts. However, recognition of ceramics is still a manual, time-consuming activity, reliant on analogue catalogues. The project developed two complementary machine-learning tools to propose i…
The automatic recognition of ceramics from only one photo
Palynology of Gardens and Archaeobotany for the Environmental Reconstruction of the Charterhouse of Calci-Pisa in Tuscany (Central Italy)
In central Italy, the Charterhouse of Calci hosts the Natural History Museum of the University of Pisa. This monumental monastery was founded in 1366 by Carthusian monks. The Charterhouse has experienced various transformations over the centuries, until its abandonment in the 1970s. Since 2018, interdisciplinary archaeological research focused on the monks’ gardens (and particularly: the Prior’s, the Apothecary’s, and the Master’s garden) and the…
Definition of the parameters of the Archaeological Potential of an urban area
Ciac 2023 – First Italian Conference on the Archaeology of the Contemporary Age
The First Italian Conference on Contemporary Archaeology (CIAC) was held at the University of Pisa between 30 November and 2 December, 2023. The conference was co-organised by the Universities of Pisa (MAPPA Laboratory – Francesca Anichini and Gabriele Gattiglia) and the University of Bari (Giuliano De Felice). Italy has a solid tradition of post-medieval archaeology, which historically has welcomed and supported contributions from the emerging f…
Archaeology (6 obras) · 3D Surveying and Cultural Heritage (4 obras) · Geography (4 obras) · Archaeological Research and Protection (3 obras) · Computer Science (3 obras) · Image Processing and 3D Reconstruction (3 obras) · Artificial Intelligence (2 obras) · Classifier (UML (2 obras) · History (2 obras) · History (2 obras)